org.deeplearning4j.nn.conf.layers

Class CnnLossLayer.Builder

java.lang.Object

org.deeplearning4j.nn.conf.layers.Layer.Builder<T>

org.deeplearning4j.nn.conf.layers.BaseLayer.Builder<T>

org.deeplearning4j.nn.conf.layers.FeedForwardLayer.Builder<T>

org.deeplearning4j.nn.conf.layers.BaseOutputLayer.Builder<CnnLossLayer.Builder>

org.deeplearning4j.nn.conf.layers.CnnLossLayer.Builder

Enclosing class:

CnnLossLayer

public static class CnnLossLayer.Builder
extends BaseOutputLayer.Builder<CnnLossLayer.Builder>

Field Summary

Fields

Modifier and Type	Field and Description
protected CNN2DFormat	format

Fields inherited from class org.deeplearning4j.nn.conf.layers.BaseOutputLayer.Builder

lossFn

Fields inherited from class org.deeplearning4j.nn.conf.layers.FeedForwardLayer.Builder

nIn, nOut

Fields inherited from class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder

activationFn, biasInit, biasUpdater, gainInit, gradientNormalization, gradientNormalizationThreshold, iupdater, regularization, regularizationBias, weightInitFn, weightNoise

Fields inherited from class org.deeplearning4j.nn.conf.layers.Layer.Builder

allParamConstraints, biasConstraints, iDropout, layerName, weightConstraints

Constructor Summary

Constructors

Constructor and Description
Builder()
Builder(ILossFunction lossFunction)
Builder(LossFunctions.LossFunction lossFunction)

Method Summary

Modifier and Type	Method and Description
CnnLossLayer	build()
CnnLossLayer.Builder	format(CNN2DFormat format)
CnnLossLayer.Builder	nIn(int nIn) Number of inputs for the layer (usually the size of the last layer).
CnnLossLayer.Builder	nOut(int nOut) Number of outputs - used to set the layer size (number of units/nodes for the current layer).
void	setNIn(long nIn)
void	setNOut(long nOut)

Methods inherited from class org.deeplearning4j.nn.conf.layers.BaseOutputLayer.Builder

hasBias, lossFunction, lossFunction

Methods inherited from class org.deeplearning4j.nn.conf.layers.FeedForwardLayer.Builder

nIn, nOut, units

Methods inherited from class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder

activation, activation, biasInit, biasUpdater, dist, gainInit, gradientNormalization, gradientNormalizationThreshold, l1, l1Bias, l2, l2Bias, regularization, regularizationBias, updater, updater, weightDecay, weightDecay, weightDecayBias, weightDecayBias, weightInit, weightInit, weightInit, weightNoise

Methods inherited from class org.deeplearning4j.nn.conf.layers.Layer.Builder

constrainAllParameters, constrainBias, constrainWeights, dropOut, dropOut, name

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

format

protected CNN2DFormat format

Constructor Detail

Builder

public Builder()

Builder

public Builder(LossFunctions.LossFunction lossFunction)

Builder

public Builder(ILossFunction lossFunction)

Method Detail

format

public CnnLossLayer.Builder format(CNN2DFormat format)

nIn

public CnnLossLayer.Builder nIn(int nIn)

Description copied from class: FeedForwardLayer.Builder

Number of inputs for the layer (usually the size of the last layer).
Note that for Convolutional layers, this is the input channels, otherwise is the previous layer size.

Overrides:

nIn in class FeedForwardLayer.Builder<CnnLossLayer.Builder>

Parameters:

nIn - Number of inputs for the layer

nOut

public CnnLossLayer.Builder nOut(int nOut)

Description copied from class: FeedForwardLayer.Builder

Number of outputs - used to set the layer size (number of units/nodes for the current layer). Note that this is equivalent to FeedForwardLayer.Builder.units(int)

Overrides:

nOut in class FeedForwardLayer.Builder<CnnLossLayer.Builder>

Parameters:

nOut - Number of outputs / layer size

setNIn

public void setNIn(long nIn)

setNOut

public void setNOut(long nOut)

build

public CnnLossLayer build()

Specified by:

build in class Layer.Builder<CnnLossLayer.Builder>